Data Engineer architecting Snowflake solutions for HR analytics at The Walt Disney Company. Collaborating with teams to optimize data management and reporting processes.
Responsibilities
Design, develop, and maintain robust Snowflake objects, including tables, views, stored procedures, and user-defined functions, to enable efficient reporting and analytics
Build and automate scalable data pipelines to cleanse, integrate, and transform data from diverse sources
Leverage SQL, Python, and other programming languages to prepare complex datasets for visualization and reporting tools
Apply advanced data warehouse modeling principles to optimize data extraction, transformation, and loading processes
Translate business requirements into technical specifications for data modeling and report building
Identify and implement opportunities to enhance query performance, data load efficiency, and overall system optimization within Snowflake
Work closely with stakeholders to gather data and reporting requirements, ensuring deep understanding of business needs and outcomes
Collaborate with report engineers, business analysts, and data scientists to deliver impactful data solutions
Create and maintain thorough documentation for data specifications, models, design decisions, and key reporting use cases
Train and support end users to facilitate adoption and successful utilization of data-driven tools and solutions
Requirements
5+ years of proven experience in data management, data engineering, business intelligence, or a related field
Advanced proficiency in SQL and Python, and hands-on experience working with Snowflake or similar cloud data warehouse platforms
Experience designing and developing ETL/ELT processes using tools such as Informatica, Snowflake, or Python, and familiarity with agile development tools (Jira, Confluence, Git)
Strong critical thinking, analytical, and problem-solving abilities with meticulous attention to detail
Excellent collaboration and communication skills; able to work effectively with cross-functional teams
Ability to thrive in a fast-paced environment while managing multiple priorities
High degree of professionalism, including handling and maintaining confidential information
Familiarity with artificial intelligence or machine learning concepts
Bachelor’s degree in Computer Science, Engineering, Mathematics, Information Systems, or a related field, or 7+ years of relevant work experience
Benefits
A bonus and/or long-term incentive units may be provided as part of the compensation package
full range of medical, financial, and/or other benefits
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